Innovation is thriving around the world—and the latest results from the A' Design Award & Competition make that clear. The 2024–2025 edition has recognized 1,823 remarkable designs from 115 ...

From pyramids to cathedrals to sykscrapers, architecture reflects the societies and cultural values it originates from. As the built environment expands, the role of architects and architecture in ...

Unlike other deep learning (DL) models, Transformer has the ability to extract long-range dependency features from hyperspectral image (HSI) data. Masked autoencoder (MAE), which is based on ...

Accurate identification of fiducial markers, such as the left pre-auricle (LPA), right pre-auricle (RPA), and nasion, is critical for head localization, source reconstruction, anatomical alignment, ...

In this paper, a signal-guided masked autoencoder (S-MAE) based semi-supervised learning framework is proposed for high-precision positioning with limited labeled channel impulse response (CIR) ...

This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...

This technique incorporates an attention mechanism, an asymmetric masked autoencoder architecture to reduce computational complexity, and utilizes the local diffusion mechanism of graph neural ...

The increasing automation in the design process of electrical machines for vehicles generates huge amounts of data, leading to a growing interest in using machine learning for faster predictions and ...

Orthogonal time-frequency space (OTFS) modulation is an innovative waveform which effectively multiplexes information symbols across a delay-Doppler (DD) plane, resulting in a superior performance, ...